Question: Prove that for the array prev computed by Dijkstra's algorithm, the edges {u,prepu}(forallv)form a tree.

Short Answer

Expert verified

All the edges {u,prepu}(foralll^v)form a tree follows this condition if the nodes are connected so there is no cycle.

Step by step solution

01

Step-1: Dijkstra’s Algorithm.

Dijkstra’s algorithm is a single-source shortest path problem. It is used in both directed and undirected graph with non negative weight.

Dijkstra's method to find shortest path:

  • Begin the initialization process at the root node.
  • Update the cost of the adjacent nodes in the table by identifying the adjacent nodes.
  • From the table, find the node with the lowest cost and repeat step-2 until all nodes have been traversed.
02

Step-2: Explanation of Dijkstra’s Algorithm.q p

To prove that a graph is a tree, we must show:

1. All of the nodes are linked together.

The definition of Dijkstra's algorithm demonstrates this. If there are some node pq , then there is a path from q to p if prev[p] Equals q. If prev[m] for some node m q , then there is a route from q to m. As a result, if there is an edge prev[r], for each node r, there is always apath from q to r. As a result, node q is connected to all other nodes.

2. There is not any cycle

Contradiction can be used to establish this. Assume that root q,i.e prev[q] , does not have a parent. It is also know that prev[r] is the alone parent of all other nodes r. If node v1,v2,...,vnhas a cycle, let's assume v1=prevv2,v2=prev[v3],...,vn=prevv1. None of nodes are linked to q, which violates the previousstatement. As a result, there is no cycle.

Hence, the edges {u,prepu}(foralll^v)form a tree if all the nodes are connected and there is no cycle.

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Most popular questions from this chapter

You are given a set of cities, along with the pattern of highways between them, in the form of an undirected graph G = (V , E). Each stretch of highway eEconnects two cities, and you know its length in miles, le. You want to get from city s to city t. There’s one problem: your car can only hold enough gas to cover L miles. There are gas stations in each city, but not between cities. Therefore, you can only take a route if every one of its edges has length leL

(a) Given the limitation on your car’s fuel tank capacity, show how to determine in linear time whether there is a feasible route from sto t.

(b) You are now planning to buy a new car, and you want to know the minimum fuel tank capacity that is needed to travel from s to t. Give anO[(V+E)log|V|]algorithm to determine this.

In cases where there are several different shortest paths between two nodes (and edges have varying length),the most convenient of these paths is often the one with fewest edges. Forinstance, if nodes represent cities and edge lengths represent costs of flying between cities, theremight be many ways to get from cityto city t which all have the same cost. The mostconvenientof these alternatives is the one which involves the fewest stopovers. Accordingly, for a specific starting node S , define

bestu=minimum number of edges in a shortest path from S to u .

In the example below, thebestvalues for nodes S,A,B,C,D,E,Fare 0,1,1,1,2,2,3, respectively.

Give an efficient algorithm for the following problem.

Input:Graph G=V,E; positive edge lengths le; starting node sV.

Output: The values of bestu should be set for all nodesuV

Question: Often there are multiple shortest paths between two nodes of a graph. Give a linear-time algorithm for the following task.

Input: Undirected graph G = (V , E )with unit edge lengths; nodesu,vV

Output: The number of distinct shortest paths from utov.

Consider a directed graph in which the only negative edges are those that leaves; all other edges are positive. Can Dijkstra's algorithm, started at s, fail on such a graph? Prove your answer.

You are given a directed graph G(V,E)with (possibly negative) weighted edges, along with a specific node sVand a tree T=(V,E'),E'E. Give an algorithm that checks whether T is a shortest-path tree for G with starting point s . Your algorithm should run in linear time.

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